EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health assistance. However, these platforms often depend on algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking aid may encounter unfair outcomes based on their background, gender, or other personal traits. It is crucial to analyze t

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